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Updated: Jul 4, 2026
09:16
Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
Published on: February 21, 2015
[Management of the CNVs in constitutional human genetics using array CGH]
C Nemos1, A-C Bursztejn, P Jonveaux
1Laboratoire de génétique, EA 4002-IFR111, CHU de Nancy-Brabois, Nancy-université, rue du Morvan, 54511 Vandoeuvre-lès-Nancy, France. cnemos@uhp-nancy.fr
Pathologie-Biologie
|June 3, 2008
Summary
Array comparative genomic hybridization (array-CGH) advances reveal numerous human genome structural variations. This review clarifies copy number variant (CNV) terminology, applications, and genotype-phenotype associations for genetic disorder research.
Area of Science:
- Genomics
- Molecular Biology
- Human Genetics
Context:
- Array comparative genomic hybridization (array-CGH) has significantly improved resolution in recent years.
- This technological progress has led to a surge in data on structural variations in the human genome.
- These structural variations, particularly copy number variants (CNVs), are increasingly implicated in genetic disorders.
Purpose:
- To clarify the terminology surrounding structural variations, specifically copy number variants (CNVs).
- To outline the diverse application fields of array-CGH assays.
- To facilitate the understanding of existing and future genotype-phenotype associations involving CNVs.
Summary:
- Recent advancements in array-CGH technology have enhanced genomic resolution, leading to the discovery of numerous structural variations.
- The review focuses on defining copy number variants (CNVs), exploring array-CGH applications, and linking genomic variations to genetic disorders.
- It aims to improve the interpretation of genotype-phenotype relationships for a better understanding of human diseases.
Impact:
- Provides a clear framework for understanding and discussing CNVs in human genetics.
- Highlights the utility of array-CGH in identifying disease-causing genomic alterations.
- Facilitates future research into genotype-phenotype correlations, advancing the diagnosis and treatment of genetic disorders.
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